huoyijie

huoyijie

Geek Repo

Company:Writing Bugs with AI

Location:Shanghai, China

Home Page:https://huoyijie.cn

Github PK Tool:Github PK Tool

huoyijie's repositories

tech-notes-code

Tech Notes

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infinity

An interesting real-time collaborative whiteboard with infinite space.

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tetris

tetris game

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awesome

index of my own repositories

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gifcap

Capture your screen to a GIF in your browser

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huarongdao

三国华容道 (huarongdao)

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keynote

Keynote is a personal lightweight CMS (Content Management System) tool writing in Golang.

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bark

🔊 Text-Prompted Generative Audio Model

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deepface

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

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dex

OpenID Connect (OIDC) identity and OAuth 2.0 provider with pluggable connectors

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EmoNeXt

Code for the paper: "EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition"

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face-emotion-recognition

Efficient face emotion recognition in photos and videos

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facefusion

Next generation face swapper and enhancer

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facefusion-assets

Next generation face swapper and enhancer

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go-gin-web-server

Deploy Go Gin on Render

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hsemotion-onnx

HSEmotionONNX python library for facial emotion recognition

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InstantID

InstantID : Zero-shot Identity-Preserving Generation in Seconds 🔥

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MassTTS

a TTS demo for training new characters.

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nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

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OpenVoice

Instant voice cloning by MyShell.

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PAtt-Lite

Official implementation for PAtt-Lite: Lightweight Patch and Attention MobileNet for Challenging Facial Expression Recognition

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paz

Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.

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unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

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vall-e

PyTorch implementation of VALL-E(Zero-Shot Text-To-Speech), Reproduced Demo https://lifeiteng.github.io/valle/index.html

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vits

VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

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vits2

VITS2: Improving Quality and Efficiency of Single-Stage Text-to-Speech with Adversarial Learning and Architecture Design

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